Smart Home
Requirements Analysis
♦ Fragmented software-hardware-cloud collaboration and low integration efficiency: Product development involves multiple domains such as embedded software, electronic circuits, and mechanical design, but lacks a unified platform to support integrated mechatronic and software co-development.
♦ Product version and configuration management are chaotic. While there is a need to rapidly launch differentiated models for different markets, channels, and user groups, the lack of effective configuration management and BOM variant control mechanisms often leads to firmware-hardware mismatches, incorrect material assignments, and difficulties in after-sales support.
♦ Multi-source heterogeneous data is scattered across different systems or local storage, lacking a unified single source of truth. Requirements documents, circuit diagrams, and structural models exist in disparate formats with missing interconnections, making end-to-end traceability difficult to achieve, which affects issue identification and compliance evidence generation.
♦ Slow engineering change response and difficulty in achieving closed-loop execution: Hardware and software changes triggered by chip shortages, user feedback, or security vulnerabilities are frequent, but the change process spans multiple departments and systems, relying on manual notifications and updates. This often results in issues such as "software updated but hardware not synchronized" or "outdated versions still being shipped," leading to customer complaints and even product recall risks.
♦ High complexity in global compliance and certification management: Products must simultaneously meet multi-country regulations such as FCC, CE, CCC, RoHS, cybersecurity laws, and data privacy requirements. However, compliance requirements are not embedded into the R&D process, leading to delayed preparation of certification documentation.
♦ Broken traceability from user requirements to product realization: User scenarios and functional requirements collected from the market cannot be structured and effectively communicated to R&D teams, resulting in ambiguous product definitions and development that deviates from actual needs. Meanwhile, the lack of a historical project-based requirement-solution knowledge base makes it difficult to rapidly reuse proven functional modules, constraining agile innovation.
Structural Design Management
SIPM/PLM offers leading CAD integration capabilities, supporting the integration of ultra-complex 3D assemblies and ensuring bidirectional data exchange between design tools and the PLM system, thereby enhancing design efficiency and data consistency. Through professional BOM lifecycle management, BOM changes are automatically synchronized to process planning, production, procurement, and the supply chain, effectively addressing the market characteristics of the smart home industry—high integration and the convergence of hardware, software, and services.
- Supports integration with mainstream CAD design software, enabling seamless connectivity and data exchange for design information.
- Concurrent management of multiple design schemes: Allows simultaneous creation and management of multiple conceptual design proposals within the PLM system, with each scheme independently version-controlled and clearly structured, avoiding scattered files and version confusion.
- Professional BOM lifecycle management: Enables BOM reverse lookup, comparison, traceability, and renumbering. BOM changes are automatically propagated from design to process engineering, production, procurement, finance, and other departments, preventing material obsolescence and production line stoppages caused by design changes.
- Standardize design processes and approval checkpoints in compliance with industry standards, ensuring strict enforcement of the quality system even during high-frequency iterations.
- Enterprise-wide unified coding system: Eliminates "multiple codes for one item" or "one code for multiple items," optimizes inventory structure, and reduces capital tied up due to material confusion, especially for logistics and transportation enterprises.
- Personal visual work dashboard: Enhances work organization and execution efficiency for R&D personnel in multi-project parallel environments.
- Comprehensive standardization solutions: Promote the establishment of modular design guidelines, common parts libraries, and design reuse mechanisms, continuously improving component commonality and platform reusability.
Electronic Design Management
SIPM/PLM provides comprehensive support for the entire electronic design process management, deeply integrates with mainstream EDA design tools, and enables bidirectional data integration between schematics, PCB, and the PLM system, ensuring automatic synchronization of design data, unified version control, and managed change processes. The system supports multi-attribute management, intelligent matching, and preferred component selection for electronic parts, combined with enterprise preferred component library strategies, to enhance design quality and supply chain resilience from the outset.
- Deep integration with mainstream EDA tools: Automatically extracts BOM information, component lists, and other design data, eliminating manual entry errors and ensuring consistency between design and data.
- Differentiated attribute management for electronic components: Supports defining independent attribute templates based on component types (e.g., resistors, capacitors, ICs, connectors), enabling a "one-type-one-template" approach.
- Management of alternative and successor components: Structured maintenance of substitution relationships, lifecycle status, and certification equivalency. When primary components face shortages, obsolescence, or supply risks, compliant alternatives ensure continuity in design and production.
- Preferred component review during selection: Enables design engineers to initiate preferred-item reviews for candidate components during the selection phase. Based on component preference levels and application scenarios, the system provides prioritized recommendations, guiding engineers toward high-reusability, high-reliability, and cost-effective selections.
- End-to-end BOM lifecycle collaboration: Electronic design BOM changes are automatically synchronized to process engineering, manufacturing, procurement, quality, and other departments, enabling full traceability and closed-loop management to prevent incorrect assembly, material obsolescence, or production line stoppages.
Software Development Management
SIPM/PLM is deeply aligned with the intelligent development trends in the smart home industry, effectively managing the entire software development lifecycle from requirements, design, development, testing, to release. Through standardized processes and a modular architecture, it ensures software development complies with industry functional safety and quality standards such as ASPICE and ISO 26262, promoting the accumulation of software assets, module reuse, and agile iteration.
- Full lifecycle management of all elements: Comprehensive lifecycle management for all key artifacts—including algorithm documentation, requirement specifications, test cases, and closed-loop bug records—supporting version traceability and compliance auditing.
- End-to-end data consistency: Ensures consistency of data flow across all stages, from requirements management and functional design to coding development and software testing.
- Seamless integration of end-to-end data flow: Achieves seamless connection between upstream and downstream processes, guaranteeing data consistency throughout requirements management, functional design, coding development, and software testing.
- Integrated hardware-software collaboration: Enables comprehensive collaboration between software development, electronic design, and mechanical design, ensuring integrated hardware-software delivery and accelerating the engineering implementation of innovative products.
- Agile development support: Supports agile project management methodologies, enabling rapid iteration and responsiveness to evolving customer requirements.
Process Management
SIPM/PLM's process management solution enables integrated management of product design and process planning. It allows seamless viewing of design content and timely transmission of design changes. By collaborating with SIPM/QIS, it automatically receives quality feedback information, ensuring the effective implementation of a comprehensive quality management system. Furthermore, the solution can extend from process management to the management of equipment, fixtures, molds, and NC programs, featuring process model reconstruction capabilities that fully meet the process data requirements of various ERP and MES systems.
- Achieves integrated management of product design and process planning, enabling seamless access to design content and timely transmission of design changes. Provides ERP with complete foundational data, and through integration with SIPM/QIS, automatically receives in-process quality feedback information.
- Offers an intelligent, structured, and scalable process solution based on a unified BOM, supporting end-to-end data continuity from design to manufacturing and ensuring accurate and error-free process documentation.
- Supports the creation of a standardized operation library within PLM, covering multiple domains such as cell packaging, welding, and assembly. Enables structured description of process symbols to ensure uniformity and standardization of process documents, and facilitates easy access to resources such as equipment, fixtures, workholding tools, and consumables.
- Enables rapid process design by referencing the standard operation library, with templates allowing direct output of process card documents—significantly improving work efficiency, reducing duplication, and shortening process preparation cycles.
- Allows enterprises to directly apply the standard process library to process design on the manufacturing BOM and automatically generate process cards, achieving standardized process management and enhancing overall production efficiency and product quality.
- Can be extended from equipment and tooling management to comprehensive management of equipment, tooling, molds, and NC code, and features process model reconstruction capabilities, fully meeting the process information requirements of various ERP and MES systems.
- Enables unified and project-based management of technical work, ensuring the effective implementation of a complete quality management system.
Project Management
Hierarchical planning and centralized control of project management make managing large-scale R&D projects simple and controllable. Core resources such as design data and technical documents are dynamically assigned based on project tasks, enabling flexible and effective control over data security and sharing. The system also supports real-time, multi-dimensional monitoring of ongoing projects, helping managers accurately track project progress, cost, and quality, ensuring high-quality and efficient delivery of highly complex R&D and engineering projects.
- Hierarchical planning and centralized control of project management make the management of large, complex projects simple and controllable.
- Supports forward and backward scheduling of project plans. When facing unexpected events such as core component delays or changes in customer requirements, the system dynamically optimizes subsequent workflows to minimize impact on the overall project and ensure milestone achievement rates.
- Temporarily and precisely assigns access permissions to project documents based on project tasks and collaboration roles, meeting industry security and compliance requirements while enabling efficient data sharing across enterprises and departments—effectively resolving the dual challenges of "data silos" and "security leaks".
- Enables strong association management between project tasks and deliverables, ensuring that outputs at each R&D stage are complete, traceable, and compliant with industry standards.
- Provides multiple visual project monitoring dashboards for real-time visibility into project progress, enabling rapid decision-making and timely intervention.
- Supports multi-dimensional performance statistics based on effort hours, task completion rates, etc., providing quantitative data for task assignment and employee performance evaluations, motivating teams to focus on value delivery.
- Real-time aggregation and early warning of detailed project cost items ensure that high-investment R&D projects remain within budget limits.
Personnel Knowledge Management
SIPM/PLM features an integrated performance management mechanism aligned with projects and tasks, along with visualized workload and performance statistics, enabling managers to promptly and easily query the actual workload and performance of personnel across departments by organizational structure. Meanwhile, tailored to the characteristics of the smart home industry—such as multi-role involvement and strong collaboration—SIPM/PLM provides fine-grained knowledge access control, supporting dynamic assignment of temporary permissions based on operational needs, thereby ensuring a high degree of both security and flexibility in permission management.
- Dual-driven by standardized knowledge base management and project-hour-based performance management, reducing redundant design efforts and inefficient communication.
- Features a performance management mechanism deeply integrated with projects and tasks, along with visualized workload and performance statistics. Managers can promptly and conveniently query the actual workload and performance of personnel across departments by organizational structure, enabling precise human resource allocation and dynamic workload balancing.
- Leverages quantified performance data on effort hours and delivery quality to support customized training programs and career development pathways, fostering a stable and high-performing core technical team.
- Helps enterprises establish mechanisms for knowledge asset accumulation and reuse, transforming design experience and solutions scattered across individual computers into enterprise-level, searchable, interlinked, and iterative structured knowledge—accelerating new employee onboarding and intergenerational technology transfer.
- Provides fine-grained control over work and knowledge-sharing permissions, allowing temporary access rights to be dynamically assigned based on operational needs, ensuring both strict security control and business flexibility.
Sample Testing Management
The Prototype Test Management (SIPM/LIMS), built on SIPM Software's proprietary no-code platform, shares the same modeling tools, underlying architecture, and database as SIPM/PLM, enabling deep, integrated convergence. It establishes a unified testing data and business management platform that meets the requirements of laboratory management systems.
- Enables full digitalization of the entire process—from commissioning requests, sample registration, intelligent task assignment, raw data entry, to automatic report generation—ensuring compliance with regulatory requirements and guaranteeing test traceability and compliance.
- Provides structured and dynamic management of core laboratory elements, including personnel qualifications, equipment calibration, sample tracking, testing methods, and environmental conditions.
- Supports online business requests, intelligent task assignment, visualized testing processes, automated data collection, and refined result analysis, significantly improving testing efficiency and data accuracy.
- Real-time integration of test data with PLM master data such as product design, BOM, engineering changes, and quality information enables rapid feedback of quality issues to R&D and manufacturing teams, driving closed-loop continuous improvement.
Prototype Manufacturing Management
Prototype Manufacturing Management (SIPM/PMS) focuses on enabling dynamic, end-to-end management of the customer's prototype development process—from requirement analysis, trial preparation, and trial production to prototype delivery. It covers design, BOM, process planning, materials, and production trial preparation and planning, facilitating efficient cross-departmental collaboration. Through real-time monitoring and data-driven decision support, the system ensures that the prototype manufacturing process is controllable, traceable, and significantly improves overall work efficiency and productivity.
- Centrally manage trial production tasks, material preparation, process routes, and delivery milestones to ensure on-time, high-quality prototype delivery.
- Proactive resource alerts: Automatically identify gaps in material inventory and manufacturing resources to prevent production stoppages due to missing parts and reduce costs from duplicate or over-purchasing.
- Full traceability of trial process data, material usage, and quality issues enables rapid root cause analysis and continuous improvement.
- Digitalized collection, analysis, and early warning of key data from new product trials unlock data value and support process optimization.
- Real-time visualization of core metrics such as project progress, cost distribution, shipment volume, and issue statistics, with drill-down capabilities and cross-department collaboration support to enhance decision-making efficiency.
AI Intelligent Applications
By deeply integrating AI with PLM, static data assets are transformed into dynamic intelligent capabilities, accelerating R&D innovation, process optimization, and knowledge reuse.
- Intelligent Knowledge Engine: Based on enterprise R&D outcomes, process documents, and experiential data, it builds a classified vector system to enable automatic knowledge organization, semantic search, and precise push.
- Content-Level Intelligent Search: Integrated with an AI engine, it supports full-text semantic search within the PLM system, enabling associative access and referencing of design documents, BOMs, change records, and other content at the granular level.
- Intelligent Process Generation: Uses AI to identify part machining features, automatically matches process rules, and generates optimal processing routes, improving both efficiency and consistency in process planning.
- Extensible AI Architecture: Supports integration with mainstream AI frameworks, allowing enterprises to train proprietary large models and deeply embed them into PLM for customized intelligent applications.
- Data-Driven Decision Making: AI automatically analyzes multi-dimensional data from projects, costs, quality, and more, assisting in budget optimization, risk, and resource allocation—driving management evolution from "experience-driven" to "intelligence-driven decision-making".
Industry Advantages
1 › Global leading MDA system modeling tool, enabling flexible and personalized system modeling.
Based on a Model-Driven Architecture (MDA), the low-code/no-code system construction platform enables direct mapping between business logic and system implementation. It supports continuous iteration as management capabilities evolve, allowing flexible and personalized system modeling while ensuring high stability.
2 › Integrated cross-disciplinary collaborative design management for mechanical, electrical, and software systems.
The PLM platform centrally manages multi-disciplinary product data—including mechanical, electronic, and embedded software—eliminating data silos between disciplines in new energy product development. It ensures consistency, integrity, and full lifecycle traceability of design data from system architecture down to core components, effectively supporting the efficient integrated development of complex products such as power battery systems, energy storage systems, and electric drive assemblies.
3 › Platform-based product configuration management helps enterprises transition from ETO to ATO.
Supports modular product selection and customizable configuration rules, significantly lowering the barrier to configuration and improving business personnel's efficiency in independent maintenance. It enables rapid response to the business demands of the new energy industry—such as parallel technology routes, regional market differentiation, strong customer customization needs, and tight delivery cycles—greatly shortening the order fulfillment cycle and driving enterprises to efficiently transition from Engineering-to-Order (ETO) to Assemble-to-Order (ATO).
4 › Unified Management of Testing and Inspection Data
Fully covers the six key elements of laboratory management—"personnel, equipment, materials, methods, environment, and measurement"—to build standardized testing processes and a unified data platform. Enables automatic assignment of test tasks, real-time collection of process data, structured entry of results, one-click report generation, and closed-loop feedback on issues. Ensures testing data is authentic, complete, compliant, and auditable, supporting product quality assurance and certification requirements.
5 › End-to-End Management of Prototype Trial Production
Covers the entire lifecycle of prototypes—from requirement initiation, trial production planning, BOM and process preparation, material readiness, production execution to delivery and acceptance—integrating collaboration across R&D, process engineering, procurement, and manufacturing departments. Enables visible trial plans, transparent resource status, and timely issue response, significantly improving prototype delivery efficiency and first-time success rate.
6 › Exceptional system stability, supporting high concurrency, large data volumes, and highly complex processes.
The server is built on a mature Java technology stack, offering cross-platform high availability and elastic scalability. It supports smooth operation of core business functions under long-term high loads, effectively handling scenarios with concurrent operations by multiple teams and high-traffic business peaks. Multi-node collaboration and parallel branching workflows can be configured via simple drag-and-drop, enabling rapid adaptation to evolving business needs. Through MDA-based modeling, the system allows flexible functional customization without modifying source code, balancing operational agility with long-term system stability.
7 › Supports group-level multi-organization deployment and global multi-language, multi-time-zone applications.
Supports group-wide unified deployment across multiple factories and R&D centers; language packs can be self-extended using standard templates, easily adapting to global localization needs; the client automatically identifies and dynamically displays the local time zone (including intelligent switching between daylight saving and standard time), ensuring consistent data, synchronized processes, and a uniform user experience for multinational teams on a single platform, supporting efficient global operations.
